from langgraph.prebuilt.chat_agent_executor import AgentState

from utils.g_utils import BaseUtils

llm = BaseUtils.get_llm_client()

def create_agent_node(state:AgentState):
    messages = state["messages"]
    model = llm.bind_tools(tools=state["tools"])

    return {"message":[]}
    pass
